Category: Technical How-to

Traditional cloud monitoring, observability, and security approaches often require manual processes for data analytics. The Dynatrace Grail data lakehouse platform provides instant, cost-efficient, AI-powered analytics and automation of unified observability, security, and business data at any scale. Learn how this enables organizations to store, process, and analyze the enormous volume and variety of data from modern cloud ecosystems while retaining its context and without structuring or rehydrating it.

Atlassian Confluence lets you create, capture, and collaborate on projects or ideas while creating and sharing knowledge articles with your colleague and organization. Learn how to use an AWS Lambda function to customize Amazon CloudWatch alarm notifications and embed an Atlassian Confluence knowledge article within it. We’ll also explore the option to build a pipeline to carry the metrics notification from source instance to CloudWatch and Amazon SNS.

In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.

Developers can rely on AWS CloudFormation to update or add new resources to an application, as CloudFormation provides two methods for updating the stack: direct update or change set. Learn how to update the value and add new resources to your running Amazon RDS deployment, and explore architecture diagrams to help you see how the system behaves when you apply the changes via CloudFormation template.

When building out a CI/CD pipeline, there are ways to proactively harden your pipelines when they need to access environments in AWS accounts. Given that your pipeline will have create and destroy access to critical components of your AWS-based environments, it’s important to evaluate how GitLab Runner authenticates and authorizes for access to your AWS accounts. Learn how the new OpenID Connect (OIDC) for GitLab CI/CD jobs can help you access AWS services using GitLab.

Kasten K10 by Veeam makes backing up and restoring data easy in the event of a security breach or unintended or unauthorized data manipulation. K10’s cloud-native philosophy inherently makes it easy to integrate into security monitoring systems without much effort. Learn about the Kubernetes Audit and how Kasten K10 natively integrates with it, and explore how to configure Amazon GuardDuty and find K10 events in Amazon CloudWatch logs which GuardDuty pulls from.

Customers can use Grafana Cloud to connect over 60 of the most popular AWS services. Interacting with those services in Grafana Cloud is easier than ever, providing one portal to set up and manage an entire AWS observability strategy. This post takes a closer look at the changes that will make it easier to manage your AWS environment. Grafana Labs supports users’ infrastructure and applications wherever they are, regardless of data type or source.

The term “API economy” refers to businesses delivering digital services to end users, other company services, or partners. This post discusses the necessary aspects to achieve an observability model in the API economy, including a practice example with an architecture design and related technologies. Based on Pragma’s extensive experience, explore the mainstays of observability and the importance of having well-defined observability architecture to have a thriving API economy model at scale.